Kasper Green Larsen

Orcid: 0000-0001-8841-5929

Affiliations:
  • Aarhus University, Department of Computer Science, Denmark


According to our database1, Kasper Green Larsen authored at least 100 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of three.
  • Erdős number3 of two.

Timeline

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Bibliography

2024
Approximating Klee's Measure Problem and a Lower Bound for Union Volume Estimation.
CoRR, 2024

The Many Faces of Optimal Weak-to-Strong Learning.
CoRR, 2024

Optimal Parallelization of Boosting.
CoRR, 2024

Revisiting Agnostic PAC Learning.
CoRR, 2024

Majority-of-Three: The Simplest Optimal Learner?
CoRR, 2024

Boosting, Voting Classifiers and Randomized Sample Compression Schemes.
CoRR, 2024

Hierarchical categories in colored searching.
Comput. Geom., 2024

From TCS to Learning Theory (Invited Paper).
Proceedings of the 49th International Symposium on Mathematical Foundations of Computer Science, 2024

Sublinear Time Shortest Path in Expander Graphs.
Proceedings of the 49th International Symposium on Mathematical Foundations of Computer Science, 2024

The NFA Acceptance Hypothesis: Non-Combinatorial and Dynamic Lower Bounds.
Proceedings of the 15th Innovations in Theoretical Computer Science Conference, 2024

Bagging is an Optimal PAC Learner (Extended Abstract).
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Replicable Learning of Large-Margin Halfspaces.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Sparse Dimensionality Reduction Revisited.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Optimal Non-Adaptive Cell Probe Dictionaries and Hashing.
Proceedings of the 51st International Colloquium on Automata, Languages, and Programming, 2024

Majority-of-Three: The Simplest Optimal Learner?
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

The Impossibility of Parallelizing Boosting.
Proceedings of the International Conference on Algorithmic Learning Theory, 2024

2023
Compressing Encrypted Data Over Small Fields.
IACR Cryptol. ePrint Arch., 2023

Invertible Bloom Lookup Tables with Less Memory and Randomness.
IACR Cryptol. ePrint Arch., 2023

Diagonalization Games.
Electron. Colloquium Comput. Complex., 2023

Optimal Non-Adaptive Cell Probe Dictionaries and Hashing.
CoRR, 2023

Barriers for Faster Dimensionality Reduction.
Proceedings of the 40th International Symposium on Theoretical Aspects of Computer Science, 2023

Fast Discrepancy Minimization with Hereditary Guarantees.
Proceedings of the 2023 ACM-SIAM Symposium on Discrete Algorithms, 2023

Stronger 3SUM-Indexing Lower Bounds.
Proceedings of the 2023 ACM-SIAM Symposium on Discrete Algorithms, 2023

AdaBoost is not an Optimal Weak to Strong Learner.
Proceedings of the International Conference on Machine Learning, 2023

The Fast Johnson-Lindenstrauss Transform Is Even Faster.
Proceedings of the International Conference on Machine Learning, 2023

Super-Logarithmic Lower Bounds for Dynamic Graph Problems.
Proceedings of the 64th IEEE Annual Symposium on Foundations of Computer Science, 2023

Bagging is an Optimal PAC Learner.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022
Distributed Shuffling in Adversarial Environments.
IACR Cryptol. ePrint Arch., 2022

How to Compress Encrypted Data.
IACR Cryptol. ePrint Arch., 2022

Towards optimal lower bounds for k-median and k-means coresets.
Proceedings of the STOC '22: 54th Annual ACM SIGACT Symposium on Theory of Computing, Rome, Italy, June 20, 2022

Optimal Weak to Strong Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improved Coresets for Euclidean k-Means.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Property-Preserving Hash Functions for Hamming Distance from Standard Assumptions.
Proceedings of the Advances in Cryptology - EUROCRYPT 2022 - 41st Annual International Conference on the Theory and Applications of Cryptographic Techniques, Trondheim, Norway, May 30, 2022

Optimality of the Johnson-Lindenstrauss Dimensionality Reduction for Practical Measures.
Proceedings of the 38th International Symposium on Computational Geometry, 2022

2021
Property-Preserving Hash Functions from Standard Assumptions.
IACR Cryptol. ePrint Arch., 2021

Further Unifying the Landscape of Cell Probe Lower Bounds.
Proceedings of the 4th Symposium on Simplicity in Algorithms, 2021

Optimal Oblivious Priority Queues.
Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms, 2021

CountSketches, Feature Hashing and the Median of Three.
Proceedings of the 38th International Conference on Machine Learning, 2021

Broadcast Secret-Sharing, Bounds and Applications.
Proceedings of the 2nd Conference on Information-Theoretic Cryptography, 2021

2020
Crossing the Logarithmic Barrier for Dynamic Boolean Data Structure Lower Bounds.
SIAM J. Comput., 2020

Lower bounds for external memory integer sorting via network coding.
Commun. ACM, 2020

On Using Toeplitz and Circulant Matrices for Johnson-Lindenstrauss Transforms.
Algorithmica, 2020

Clustering with a faulty oracle.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Secret Sharing Lower Bound: Either Reconstruction is Hard or Shares are Long.
Proceedings of the Security and Cryptography for Networks - 12th International Conference, 2020

Margins are Insufficient for Explaining Gradient Boosting.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Optimal Learning of Joint Alignments with a Faulty Oracle.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Near-Tight Margin-Based Generalization Bounds for Support Vector Machines.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Dimension Reduction.
Proceedings of the Encyclopedia of Big Data Technologies., 2019

Lower Bounds for Multi-Server Oblivious RAMs.
IACR Cryptol. ePrint Arch., 2019

Exponential Lower Bounds for Secret Sharing.
IACR Cryptol. ePrint Arch., 2019

Optimal Oblivious Priority Queues and Offline Oblivious RAM.
IACR Cryptol. ePrint Arch., 2019

Communication Lower Bounds for Statistically Secure MPC, with or without Preprocessing.
IACR Cryptol. ePrint Arch., 2019

Lower Bounds for Oblivious Near-Neighbor Search.
Electron. Colloquium Comput. Complex., 2019

The query complexity of a permutation-based variant of Mastermind.
Discret. Appl. Math., 2019

Heavy hitters via cluster-preserving clustering.
Commun. ACM, 2019

Constructive Discrepancy Minimization with Hereditary L2 Guarantees.
Proceedings of the 36th International Symposium on Theoretical Aspects of Computer Science, 2019

A Faster External Memory Priority Queue with DecreaseKeys.
Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms, 2019

Lower Bounds for Oblivious Data Structures.
Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms, 2019

Margin-Based Generalization Lower Bounds for Boosted Classifiers.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Optimal Minimal Margin Maximization with Boosting.
Proceedings of the 36th International Conference on Machine Learning, 2019

Lower Bounds for Multiplication via Network Coding.
Proceedings of the 46th International Colloquium on Automata, Languages, and Programming, 2019

2018
Yes, There is an Oblivious RAM Lower Bound!
Electron. Colloquium Comput. Complex., 2018

Tight cell probe bounds for succinct Boolean matrix-vector multiplication.
Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing, 2018

Upper and Lower Bounds for Dynamic Data Structures on Strings.
Proceedings of the 35th Symposium on Theoretical Aspects of Computer Science, 2018

Fully Understanding The Hashing Trick.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Fast Exact k-Means, k-Medians and Bregman Divergence Clustering in 1D.
CoRR, 2017

DecreaseKeys are expensive for external memory priority queues.
Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing, 2017

Faster Online Matrix-Vector Multiplication.
Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete Algorithms, 2017

Optimality of the Johnson-Lindenstrauss Lemma.
Proceedings of the 58th IEEE Annual Symposium on Foundations of Computer Science, 2017

A Dichotomy for Regular Expression Membership Testing.
Proceedings of the 58th IEEE Annual Symposium on Foundations of Computer Science, 2017

2016
How to prove knowledge of small secrets.
IACR Cryptol. ePrint Arch., 2016

The Johnson-Lindenstrauss Lemma Is Optimal for Linear Dimensionality Reduction.
Proceedings of the 43rd International Colloquium on Automata, Languages, and Programming, 2016

Towards Tight Lower Bounds for Range Reporting on the RAM.
Proceedings of the 43rd International Colloquium on Automata, Languages, and Programming, 2016

2015
Adapt or Die: Polynomial Lower Bounds for Non-Adaptive Dynamic Data Structures.
Theory Comput., 2015

On hardness of several string indexing problems.
Theor. Comput. Sci., 2015

Time Lower Bounds for Nonadaptive Turnstile Streaming Algorithms.
Proceedings of the Forty-Seventh Annual ACM on Symposium on Theory of Computing, 2015

Approximate Range Emptiness in Constant Time and Optimal Space.
Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms, 2015

New Unconditional Hardness Results for Dynamic and Online Problems.
Proceedings of the IEEE 56th Annual Symposium on Foundations of Computer Science, 2015

2014
On Range Searching in the Group Model and Combinatorial Discrepancy.
SIAM J. Comput., 2014

Linear-Space Data Structures for Range Mode Query in Arrays.
Theory Comput. Syst., 2014

Optimal Planar Orthogonal Skyline Counting Queries.
Proceedings of the Algorithm Theory - SWAT 2014, 2014

Near-optimal labeling schemes for nearest common ancestors.
Proceedings of the Twenty-Fifth Annual ACM-SIAM Symposium on Discrete Algorithms, 2014

2013
(Approximate) Uncertain Skylines.
Theory Comput. Syst., 2013

Succinct sampling from discrete distributions.
Proceedings of the Symposium on Theory of Computing Conference, 2013

Near-Optimal Range Reporting Structures for Categorical Data.
Proceedings of the Twenty-Fourth Annual ACM-SIAM Symposium on Discrete Algorithms, 2013

The Query Complexity of Finding a Hidden Permutation.
Proceedings of the Space-Efficient Data Structures, 2013

2012
I/O-efficient spatial data structures for range queries.
ACM SIGSPATIAL Special, 2012

The Deterministic and Randomized Query Complexity of a Simple Guessing Game.
Electron. Colloquium Comput. Complex., 2012

The cell probe complexity of dynamic range counting.
Proceedings of the 44th Symposium on Theory of Computing Conference, 2012

I/O-efficient data structures for colored range and prefix reporting.
Proceedings of the Twenty-Third Annual ACM-SIAM Symposium on Discrete Algorithms, 2012

Higher Cell Probe Lower Bounds for Evaluating Polynomials.
Proceedings of the 53rd Annual IEEE Symposium on Foundations of Computer Science, 2012

Improved range searching lower bounds.
Proceedings of the 28th ACM Symposium on Computational Geometry, 2012

Higher-dimensional orthogonal range reporting and rectangle stabbing in the pointer machine model.
Proceedings of the 28th ACM Symposium on Computational Geometry, 2012

2011
Range Selection and Median: Tight Cell Probe Lower Bounds and Adaptive Data Structures.
Proceedings of the Twenty-Second Annual ACM-SIAM Symposium on Discrete Algorithms, 2011

Orthogonal range searching on the RAM, revisited.
Proceedings of the 27th ACM Symposium on Computational Geometry, 2011

2010
Cell Probe Lower Bounds and Approximations for Range Mode.
Proceedings of the Automata, Languages and Programming, 37th International Colloquium, 2010

Cleaning massive sonar point clouds.
Proceedings of the 18th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2010

Orthogonal range reporting: query lower bounds, optimal structures in 3-d, and higher-dimensional improvements.
Proceedings of the 26th ACM Symposium on Computational Geometry, 2010

2009
Orthogonal Range Reporting in Three and Higher Dimensions.
Proceedings of the 50th Annual IEEE Symposium on Foundations of Computer Science, 2009

2007
Mental models and programming aptitude.
Proceedings of the 12th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education, 2007


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